Intelligent seed production device and method based on multi-stage self-adaptive positioning and bud eye identification

Abstract

The invention discloses an intelligent seed production device and method based on multi-stage self-adaptive positioning and bud eye identification. The device comprises a feeding system, a pre-dicingsystem, an intelligent identification dicing system for bud eyes and a material mixing system; the feeding system is connected with the pre-dicing system, the pre-dicing system is connected with the intelligent identification dicing system for bud eyes, and the intelligent identification dicing system for bud eyes is connected with the material mixing system. The feeding system intermittently sends packaged materials to be processed and the like into the pre-dicing system, the pre-dicing system dices the received materials half-and-half, and the diced materials are separately conveyed to the intelligent identification dicing system for bud eyes; the diced material blocks enter the material mixing system, and the material mixing system fully mixes a mixing material with the material blocks.The device can achieve the purposes of multi-stage positioning of seed potatoes, efficient dicing and consumption reduction of the mixing material; the working efficiency is improved, automated production is realized, the dicing quality is improved, and the economic benefit is increased.

Description

technical field [0001] The invention relates to the technical field of agricultural machinery, in particular to an intelligent seed production device and method based on multi-level self-adaptive positioning and bud eye recognition. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Potatoes, also known as potatoes, ground eggs, and Dutch potatoes, are perennial herbaceous plants of the family Solanaceae. It is not only a traditional economic crop, but also a food crop. In recent years, my country has proposed a strategy of turning potatoes into a staple food, making potatoes into various staple foods such as steamed buns, noodles, and rice noodles, so as to reduce the pressure on our population’s large demand for staple foods. Promoting the use of potatoes as a staple food will also help improve residents’ dietary structure and ease Resourc...

AI Technical Summary

Problems solved by technology

Cutting the root into pieces in this way requires the preparation of a variety of streamlined cutters. The cutting process is cumbersome and reduces the cutting efficiency.

Moreover, most of the cutting devices are blind cutting, and they do not pay attention to the number of bud eyes on the seed potato tubers. The obtained seed potato tubers have too many bud eyes and different sizes, so it is difficult to ensure the supply of nutrients during the cutting growth process, which is easy to cause seed Potato resources are wasted, cutting quality is reduced and it is difficult to ensure high yield of root crops

[0006] As early as 2012, Guo Zhidong invented an automatic potato cutting machine, which realized intelligent mechanized cutting to a certain extent and controlled the weight of potato pieces. To meet the actual sowing needs, at the same time, this seed cutter does not have the bud eye recognition function

[0007] In 2015, Zhou Shulin invented the scoop-and-fixed-knife potato cutting machine. This cutting machine flexibly realizes the quality control of potato pieces, and has a simple structure and good cutting efficiency. Bud eye recognition function added

The principle of the seed cutter is simple, and the control is more convenient, but it cannot control the weight of the potato pieces in real time, and at the same time, the bud eye recognition function is not added to the seed cutter

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